Principal Engineer, AI Native Quality & Safety (AI)

Location: USA - Remote; remote work is available only within the employee's country of employment. Up to 10% travel for team jams and an internal developer conference; reliable internet access is required while working remotely outside a hirify.global office.

Salary: $177,000.00–$290,000.00 annually in the US, with actual offers varying by location, qualifications, experience, and other factors.

Company

hirify.global provides an AI-powered enterprise platform for financial reporting, compliance, risk, sustainability, and collaboration, with trusted and traceable data on a secure foundation.

What you will do

• Partner with engineering, platform, InfoSec, SRE, and Compliance to build layered safety controls for AI-native delivery.
• Build pre-production verification using evaluations, invariant tests, risk-based test selection, and a non-skippable invariant floor.
• Develop automated safety valves, continuous shadow soak, ratified releases, deliberate per-tenant exposure, and risk-based PR evaluation approval.
• Design agentic systems that reduce CI bottlenecks through flaky-test quarantine and nightly full-suite execution.
• Enforce integrity-protected channels, least-authority guardrails, independent verification of agent claims, and protected CI, branch, and audit controls.
• Test, monitor, and observe AI models in real environments with containment and rollback, while mentoring Staff+ engineers and creating durable runbooks, decision logs, and tests.

Requirements

• 8+ years of experience building and scaling complex software systems.
• Bachelor’s degree in Computer Science, Information Security, or a related field; alternatively, 6+ years of experience with a Master’s degree, a PhD with 4+ years of experience, or equivalent practical experience.
• Demonstrated experience using AI as a primary development collaborator.
• Ability to frame ambiguous safety problems, propose original solutions, define system invariants, and lead large cross-pillar technical initiatives.
• Strong written communication skills and a habit of creating durable, useful artifacts.
• A leadership style that empowers others rather than creating dependency, with a strong quality bar for AI-generated output.

Nice to have

• Experience designing safety-critical, high-assurance, or redundant systems.
• Experience building CI/CD and test infrastructure that improves engineering velocity and quality at scale.
• Experience designing evaluations for LLMs or AI agents and monitoring production systems.
• Experience with least-privilege access, signed provenance, policy-as-code, progressive delivery, canary releases, traffic mirroring, and automated rollback.
• Experience with TDD, BDD, load, stress, chaos, invariant, or mutation testing.
• Experience in a highly regulated industry such as financial services.

Culture & Benefits

• Quality is designed into systems so that the safe path is the easy path and higher velocity does not increase production risk.
• Remote work is supported within the employee’s country of employment, with up to 10% travel for team events.
• Discretionary bonus typically paid annually.
• Restricted Stock Units granted at hire.
• 401(k) match and comprehensive employee benefits package.
• Role-specific security and privacy training is required; reasonable accommodations are available for applicants with disabilities.